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development of open-source, machine learning–based software for inferring evolutionary history from genomic data. Design and run population genetic simulations to generate training data and validate theoretical
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or phage genetics, molecular biology, vector biology, animal infection, microscopy, genomics, transcriptomics, biochemistry, or computational analysis, depending on expertise. Analyze data, maintain
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collaborative research program assessing recreation ecology and its application to federal public lands management. This position is funded through a Mutual Benefit Agreement between MSU and the USDA Forest
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State University, in collaboration with engineering and political science faculty, to implement an existing research program defined in the DigiCARES strategic plan that advances justice-enhanced
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with computational and molecular biology teams to link structural insights to function and evolution. Lead manuscript preparation and present findings at internal group meetings, national conferences